Book Image

Exploratory Data Analysis with Pandas and Python 3.x [Video]

By : Mohammed Kashif
Book Image

Exploratory Data Analysis with Pandas and Python 3.x [Video]

By: Mohammed Kashif

Overview of this book

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on course shows non-programmers how to process information that’s initially too messy or difficult to access. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. This course will take you from Python basics to explore many different types of data. Throughout the course, you will be working with real-world datasets to retrieve insights from data. You'll be exposed to different kinds of data structure and data-related problems. You'll learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more! All the code files and related files are placed on the GitHub at this link https://github.com/PacktPublishing/Exploratory-Data-Analysis-with-Pandas-and-Python-3.x
Table of Contents (7 chapters)
Chapter 2
Dealing with Missing Data
Content Locked
Section 1
Finding Missing Values
Most of the real-world datasets contain missing values due to various reasons. In this video, we find out how we can know whether we have missing values in our dataset using Pandas library in Python. - Explore the various reasons for the missing values in datasets - Understand the various Pandas functions that can be used to find the missing values - Learn about the different types of missing values and how Pandas does type conversion for them